24 hours left: join the November AI cohort (start free)
Closes in 1 day. Live kick-off on Nov 2. Start with the free preview.
The November cohort of Full Stack AI Engineering closes in 1 day. The live kick-off call is this Sunday (November 2). After that, we start working with the people who joined. If you want to be in this cohort, enroll now, and if you want to test it before paying, use the free preview below.
It’s the same curriculum we’ve used to train teams who paid $50,000+ for a structured, production-ready GenAI playbook. You don’t have to pay that. You don’t even have to pay today.
Enroll in the full course (join the November cohort):
https://academy.towardsai.net/courses/beginner-to-advanced-llm-dev
Current cohort pricing: $349 one-time
Or start with the free preview → check if the content, pace, and outcomes match where you want to go, and upgrade only if it’s the right move for your career.
🔗 Free preview: https://academy.towardsai.net/pages/free-lesson-offer-1
🔗 Full course: https://academy.towardsai.net/courses/beginner-to-advanced-llm-dev
Cohort starts Sunday (Nov 2) — sign up for the course to get access!
Why are we doing it this way? The AI engineer role is one of the most in-demand and most poorly defined roles right now. Everyone says they “do AI,” but very few can actually design a retrieval workflow, call models via APIs, choose between prompting, RAG, tools, and fine-tuning, and then ship something people can use. That gap is exactly what this cohort is closing.
If you want to become the person enterprises rely on for widescale GenAI adoption, November is your window.
Here’s what you unlock immediately in the free preview:
You see the actual scope of an AI engineer, not just toy prompting, but the depth and breadth of the role, where engineering, product, and AI meet.
You learn when to use Prompt Engineering, RAG, tools, and fine-tuning, and more importantly, why you can’t just “do RAG” for every use case.
You get a walkthrough of calling LLMs via API because real work doesn’t happen in playgrounds.
You get a complete syllabus breakdown so you know what you’ll build, in what order, and how it compounds.
And once you upgrade to the full course, you get access to the November cohort, where you learn to ship real AI systems that solve real problems.
Our CTO, Louis-François, already reviewed early applications and chatted with students joining from startups, top universities, government, and companies like Nvidia, Deloitte, EY, and even police forces. This isn’t a passive “watch 200 videos” course; it’s a room full of people doing the work.
November cohorts are always more active because people want to ship something meaningful before year-end. If you want that energy, don’t wait for the next one.
It all kicks off with a live welcome call with our CEO on November 2, so if you want to join with momentum, enroll now — or preview and upgrade before Sunday.”
What to do now:
Enroll in the full course (to secure your seat)
If you want to test first, sign up for the free preview 👉 https://academy.towardsai.net/pages/free-lesson-offer-1
Watch the intro lessons and the syllabus walkthrough.
If you can see yourself in this role, upgrade to the full course and join the November cohort.
No guesswork. No “I’ll see if this is worth it” in your head. You can see inside first.




Congrats on this new beginning!
Regarding the topic of the article, it is indeed crucial to address the prevalant skill gap in practical GenAI applications. However, I wonder how this curriculum integrates with broader theoretical computer science principles to ensure long-term adaptability beyond current industry trends?